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[Fax program] chcap1 DL : 0: ％信道容量C的迭代算法％％函数说明：％％ [CC,Paa]=ChannelCap(P,k) 为信道容量函数％％变量说明：％％ P：输入的正向转移概率矩阵，k：迭代计算精度％％ CC：最佳信道容量，Paa：最佳输入概率矩阵％％ Pa：初始输入概率矩阵，Pba：正向转移概率矩阵％％ Pb：输出概率矩阵％％ C：初始信道容量， r：输入符号数，s：输出符号数％
Update : 2008-10-13 Size : 1.07kb Publisher : 风
[Graph Recognize] FingerPrintSource DL : 0: 一些指纹识别的资料，里面有PBA，LOGO，单一登陆等内容。
Update : 2008-10-13 Size : 13.41mb Publisher : 刘林
[Books] PbApi DL : 0: PowerBuilder Windows API 查询-PowerBuilder Windows API inquiries
Update : 2025-02-19 Size : 204kb Publisher : VerVe
[Fax program] chcap1 DL : 1: ％信道容量C的迭代算法％％函数说明：％％ [CC,Paa]=ChannelCap(P,k) 为信道容量函数％％变量说明：％％ P：输入的正向转移概率矩阵，k：迭代计算精度％％ CC：最佳信道容量，Paa：最佳输入概率矩阵％％ Pa：初始输入概率矩阵，Pba：正向转移概率矩阵％％ Pb：输出概率矩阵％％ C：初始信道容量， r：输入符号数，s：输出符号数％- Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function Variable Description: P: input positive transition probability matrix, k: iterative calculation accuracy CC: the best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix C: initial channel capacity, r: the number of input symbols, s: output symbol number
Update : 2025-02-19 Size : 1kb Publisher :
[Graph Recognize] FingerPrintSource DL : 0: 一些指纹识别的资料，里面有PBA，LOGO，单一登陆等内容。-Number of fingerprint identification data, which have PBA, LOGO, the contents of a single landing.
Update : 2025-02-19 Size : 13.42mb Publisher : 刘林
[Other Embeded program] pbap DL : 0: 蓝牙pbap profile 源代码，可下载手机端的电话本-Bluetooth pbap profile source code, downloadable mobile phone side of the phone book
Update : 2025-02-19 Size : 36kb Publisher : harry
[ELanguage] a.pbs DL : 0: 运行并行的mpif77文件用的pba文件-for mpif77
Update : 2025-02-19 Size : 1kb Publisher : 志远
[AI-NN-PR] lsyc DL : 0: 信道容量C的迭代算法函数说明： [CC,Paa]=ChannelCap(P,k) 为信道容量函数变量说明： P：输入的正向转移概率矩阵，k：迭代计算精度 CC：最佳信道容量，Paa：最佳输入概率矩阵 Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 Pb：输出概率矩阵，Pab：反向转移概率矩阵 C：初始信道容量， r：输入符号数，s：输出符号数 -Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function variable declaration: P: Enter a positive transition probability matrix, k: Diego generation of precision CC: Best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability Matrix C: the initial channel capacity, r: the number of input symbols, s: output symbol number
Update : 2025-02-19 Size : 6kb Publisher : lijing
[AI-NN-PR] xxs DL : 0: 信道容量C的迭代算法函数说明： [CC,Paa]=ChannelCap(P,k) 为信道容量函数变量说明： P：输入的正向转移概率矩阵，k：迭代计算精度 CC：最佳信道容量，Paa：最佳输入概率矩阵 Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 Pb：输出概率矩阵，Pab：反向转移概率矩阵 C：初始信道容量， r：输入符号数，s：输出符号数 -Channel capacity C of the iterative algorithm Function Description: [CC, Paa] = ChannelCap (P, k) for the channel capacity function variable declaration: P: Enter a positive transition probability matrix, k: Diego generation of precision CC: Best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability Matrix C: the initial channel capacity, r: the number of input symbols, s: output symbol number
Update : 2025-02-19 Size : 3kb Publisher : lijing
[matlab] ChannelCap DL : 0: 信道容量C的迭代算法函数说明： [CC,Paa]=ChannelCap(P,k) 为信道容量函数变量说明： P：输入的正向转移概率矩阵，k：迭代计算精度 CC：最佳信道容量，Paa：最佳输入概率矩阵 Pa：初始输入概率矩阵，Pba：正向转移概率矩阵 Pb：输出概率矩阵，Pab：反向转移概率矩阵 C：初始信道容量， r：输入符号数，s：输出符号数 -Channel capacity C of the iterative algorithm function Description: [CC Paa] = ChannelCap (P, k) for the channel capacity functions variable Description: P: input forward transfer probability matrix k: iterative calculation precision CC: best channel capacity, Paa: optimal input probability matrix Pa: initial input probability matrix, Pba: positive transition probability matrix Pb: output probability matrix, Pab: reverse transition probability matrix C: the capacity of the initial channel, r: the number of input symbols, s: the number of output symbols
Update : 2025-02-19 Size : 1kb Publisher : 龙哥
[matlab] RateDF DL : 0: 信息率失真函数的迭代计算信息率失真函数的迭代计算，迭代精度取为10^(-7) 在信源的输入概率分布Pa和失真矩阵d已知的条件下求出信息率失真函数函数说明： [Pba,Rmin,Dmax,Smax]=RateDF(Pa,d,S) 为信息率失真函数变量说明： Pa：信源的输入概率矩阵，d：失真矩阵，S：拉氏乘子 Pba：最佳正向转移概率矩阵， Smax：最大拉氏乘子 Rmin：最小信息率，Dmax：允许的最大失真度 -Information rate distortion function iteration rate-distortion function iteration, iteration accuracy 10 ^ (-7) source input probability distribution of Pa and distortion matrix d known conditions obtained information rate distortion function Function Description: [Pba, Rmin, Dmax, Smax] = RateDF (Pa, d, S) for the information rate distortion function Variable Description: Pa: source input probability matrix, d: Distortion matrix, S: Lagrangian multiplier Pba: Best forward transition probability matrix, Smax: maximum Lagrangian multiplier Rmin: Minimum information rate, Dmax: Allow the maximum distortion
Update : 2025-02-19 Size : 2kb Publisher : 龙哥
[matlab] RateDf DL : 0: 信息率失真函数的迭代计算信息率失真函数的迭代计算，迭代精度取为10^(-7) 在信源的输入概率分布Pa和失真矩阵d已知的条件下求出信息率失真函数函数说明： [Pba,Rmin,Dmax,Smax]=RateDF(Pa,d,S) 为信息率失真函数变量说明： Pa：信源的输入概率矩阵，d：失真矩阵，S：拉氏乘子 Pba：最佳正向转移概率矩阵， Smax：最大拉氏乘子 Rmin：最小信息率，Dmax：允许的最大失真度-Information on the calculation of the rate-distortion function iteration iterative information rate-distortion function calculations, iterative precision is taken as 10 ^ (-7) in the source input probability distributions Pa and distortion matrix d information obtained under conditions known rate-distortion Function Description : [Pba, Rmin, Dmax, Smax] = RateDF (Pa, d, S) for the information rate-distortion function variables Description: Pa: source input probability matrix, d: distortion matrix, S: Lagrange multiplier Pba: most the maximum allowable distortion: Best forward transition probability matrix, Smax: maximum Lagrange multiplier Rmin: minimum information rate, Dmax
Update : 2025-02-19 Size : 2kb Publisher : ray
[assembly language] forward-intersection DL : 0: 设有A、B、P三点，A、B为已知坐标的点，P为未知点，用仪器测得∠PAB和∠PBA,根据A、B的坐标可求得P点的坐标，这种方法叫做前方交会-Features A, B, P three points, A, B point coordinates are known, P is an unknown point, as measured by the instrument ∠PAB and ∠PBA, the coordinates A, B coordinates of point P can be obtained, which method is called forward intersection
Update : 2025-02-19 Size : 1.73mb Publisher : 蛋烧的饼干
[Other] PBA REPORT AUGUST 2017-2018 DL : 0: IT IS REPORT ON PUBLICATION AND PLAGIARISM REPORT OF MTECH POWER SYSTEMS
Update : 2025-02-19 Size : 279kb Publisher : raviks